OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Privacy Audit of Commercial Large Language Models with Sophisticated Prompt Engineering
Jeffrey Lund, S. Neil MacFarlane, Brooke Niles
(2024)
Open Access | Times Cited: 10
Jeffrey Lund, S. Neil MacFarlane, Brooke Niles
(2024)
Open Access | Times Cited: 10
Showing 10 citing articles:
Evaluating Privacy Compliance in Commercial Large Language Models - ChatGPT, Claude, and Gemini
Oliver Cartwright, H. Flanders Dunbar, Theo Radcliffe
Research Square (Research Square) (2024)
Open Access | Times Cited: 12
Oliver Cartwright, H. Flanders Dunbar, Theo Radcliffe
Research Square (Research Square) (2024)
Open Access | Times Cited: 12
Exploiting Privacy Vulnerabilities in Open Source LLMs Using Maliciously Crafted Prompts
Géraud Choquet, Aimée Aizier, Gwenaëlle Bernollin
Research Square (Research Square) (2024)
Open Access | Times Cited: 11
Géraud Choquet, Aimée Aizier, Gwenaëlle Bernollin
Research Square (Research Square) (2024)
Open Access | Times Cited: 11
Automated Methodologies for Evaluating Lying, Hallucinations, and Bias in Large Language Models
George Ecurali, Zelie Thackeray
Research Square (Research Square) (2024)
Open Access | Times Cited: 6
George Ecurali, Zelie Thackeray
Research Square (Research Square) (2024)
Open Access | Times Cited: 6
Auditing Large Language Models for Privacy Compliance with Specially Crafted Prompts
Simon Chard, Brent Johnson, Daniel C. Lewis
(2024)
Open Access | Times Cited: 5
Simon Chard, Brent Johnson, Daniel C. Lewis
(2024)
Open Access | Times Cited: 5
Mitigating Hallucinations in Large Language Models with Sliding Generation and Self-Checks
F. EUGENE HARRINGTON, Elliot Rosenthal, Miles Swinburne
(2024)
Open Access | Times Cited: 4
F. EUGENE HARRINGTON, Elliot Rosenthal, Miles Swinburne
(2024)
Open Access | Times Cited: 4
Game-Theoretic Approaches for Step-wise Controllable Text Generation in Large Language Models
Daniel Sefeni, Michael Johnson, Joshua Lee
Authorea (Authorea) (2024)
Closed Access | Times Cited: 3
Daniel Sefeni, Michael Johnson, Joshua Lee
Authorea (Authorea) (2024)
Closed Access | Times Cited: 3
Detecting LLM Hallucinations Using Monte Carlo Simulations on Token Probabilities
Grant Ledger, Rafael Mancinni
(2024)
Open Access | Times Cited: 2
Grant Ledger, Rafael Mancinni
(2024)
Open Access | Times Cited: 2
Efficient Conceptual Knowledge Removal in Large Language Models: Methods and Evaluations
Miyim Dimitriou, Daniel Rogowski, Michael C. Anderson, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Miyim Dimitriou, Daniel Rogowski, Michael C. Anderson, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Boosting Domain Knowledge Understanding of LLMs through Fine-Tuning with a Novel KNN Algorithm
Shamu Delgaty, Ethan LeBang
Research Square (Research Square) (2024)
Open Access
Shamu Delgaty, Ethan LeBang
Research Square (Research Square) (2024)
Open Access
Dynamic Contextual Alignment Mechanisms for Improving the Internal Representational Consistency in Large Language Models
Feidong Ce, Jing Chen, Linlin Huang, et al.
(2024)
Open Access
Feidong Ce, Jing Chen, Linlin Huang, et al.
(2024)
Open Access
